基于总体最小二乘匹配的机载LiDAR点云航带平差方法

机载LiDAR技术在快速获取空间三维地理信息及其应用方面具有不可估量的前景,然而,机载LiDAR系统获得的相邻航带点云数据在重叠区存在"漂移"问题,需要采用航带平差的方法实现不同航带点云数据之间的"无缝"拼接。针对最小二乘航带平差方法中存在的某些不足,结合总体最小二乘与航带平差方法,将总体最小二乘应用于点云的平面拟合,从而提高了相邻航带匹配的精确性。采用实际飞行数据,设计实验方案对航带平差效果进行比较分析。

A method of airborne LiDAR point cloud strip adjustment based on total least squares registration

Airborne LiDAR technology has an incalculable prospect in quick access to spatial three‐dimensional geographic information and concerning applications .However ,there has been a problem of data drifting in overlap region from two adjacent air‐strips ,and strip adjustment methods are required to splice the point cloud data from different strips seamlessly .Due to some deficiencies existing in the strip adjustment method based on least squares ,a method of strip adjustment based on total least squares is combined in this paper ,w hich applies total least squares to the plane fitting of point cloud ,thereby improving the registration accuracy of adjacent strips .The actual flight data are used to design the experiment to compare and analyze the effects of two different methods in strip adjustment .